Google’s message on February 11, 2026 was blunt: stop chasing keywords. The latest Ads Decoded update tells advertisers to align campaign structures with high-level business goals instead of keyword-specific architectures. The directive is clear. Structure your campaigns around objectives like profit margin targets and CPA thresholds. Let AI Max and Smart Bidding find the conversions.
This is not a suggestion buried in a help document. Google’s Ads Product Liaison Ginny Marvin hosted the conversation with product leaders who build these tools. The core argument: keyword-centric campaign structures restrict the bidding algorithms. When you cage the AI into tight keyword buckets, you limit its ability to discover conversions in non-traditional search paths that would otherwise drive results.
What AI Max Actually Is (And Is Not)
AI Max is not a new campaign type. It is a suite of AI-powered features that layers on top of existing Search campaigns. Google launched it in May 2025 and rolled it out globally by Q3 2025. Advertisers who activate AI Max see an average 14% lift in conversions at a similar CPA. For campaigns still relying primarily on exact and phrase match keywords, that uplift jumps to 27%.
AI Max does three things. First, search term matching expands your reach beyond your keyword lists using broad match and keywordless targeting to find relevant queries you would otherwise miss. Second, text customization generates headlines and descriptions from your landing pages, ads, and existing keywords. Third, final URL expansion sends users to the most relevant page on your site, even if it is not the page you originally set.
Think of AI Max as the bridge between traditional Search campaigns and Performance Max. You keep the granular controls of Search. You gain the AI-driven query expansion that PMax pioneered. The key difference is that AI Max gives you brand controls, location of interest targeting, and URL exclusion settings that PMax does not offer at the same level.
Why Keyword-Centric Structures Limit AI Performance
For over a decade, the standard PPC playbook was clear: segment campaigns by match type, build tight ad groups around keyword themes, and control bids at the keyword level. That approach made perfect sense when manual CPC was the dominant bidding strategy and when Google matched queries exactly to the terms you bought.
That world no longer exists. Google’s match types have fundamentally changed. Exact match now captures close variants, related meanings, and implied intent. Broad match uses AI signals including user location, search history, and landing page content to determine relevance. The keyword you bid on is increasingly a suggestion, not a constraint.
When you build 50 ad groups with 10 tightly themed keywords each, you create 50 separate data pools. Smart Bidding optimizes within each pool independently. It cannot see that a user who searched in ad group 17 also searched a related query that lives in ad group 42. The algorithm works best when it has a consolidated view of your conversion data across a broader set of signals.
Google’s position is that advertisers should consolidate. Fewer campaigns. Fewer ad groups. Broader signal pools. Structure around what the business needs, not around how you categorize keywords.
The New Structure: Business Goals Over Keyword Themes
The Ads Decoded directive boils down to one principle: separate campaigns only when they require different business outcomes. Not different keywords. Not different match types. Different goals.
| Business Goal | Campaign Strategy | Bidding Approach |
| Maximum profit margin | Consolidate high-margin products/services, use value-based bidding with margin data | Target ROAS with profit-adjusted conversion values |
| Volume at target CPA | Single campaign with broad audience signals, AI Max enabled | Target CPA or Maximize Conversions with cap |
| New customer acquisition | Separate campaign with new customer goals, customer match exclusions | New Customer Only mode with higher CPA tolerance |
| Brand protection | Dedicated brand campaign with exact match, AI Max off | Target Impression Share for brand terms |
| Market expansion | AI Max enabled, broad match, URL expansion on | Maximize Conversions to discover new paths |
Notice what is missing from that table. There is no “keyword theme” column. There is no “match type” segmentation. The campaign structure is defined entirely by what the business needs to achieve and what bidding strategy serves that goal.
What This Looks Like in Practice
Imagine you run an e-commerce store selling outdoor gear. Under the old model, you might have 15 campaigns split by product category, each with dozens of keyword-themed ad groups. Under the new model, you might have three campaigns.
Campaign one targets profit maximization for your highest-margin products. You feed profit margin data into conversion values and let Target ROAS optimize for actual profitability. You can calculate these thresholds with a break-even ROAS calculator before setting targets.
Campaign two targets new customer acquisition. You set new customer goals, upload customer match lists as exclusion signals, and give the algorithm a higher CPA tolerance because lifetime value justifies the cost. AI Max expands into search queries you never considered but that attract first-time buyers.
Campaign three protects your brand terms. This stays tight: exact match, no AI Max, Target Impression Share bidding. Brand defense still requires control.
Three campaigns instead of fifteen. Each defined by a business outcome, not a keyword list.
AI Max Within the Power Pack Framework
Google’s 2026 campaign architecture envisions three campaign types working together. They call it the Power Pack: Demand Gen creates awareness through YouTube, Discover, Gmail, and Display. AI Max captures intent on Search with expanded query matching and dynamic creative. Performance Max converts across all channels with full automation.
The Ads Decoded update positions AI Max as the middle layer. It sits between brand awareness and full-funnel automation. When a user moves from watching a YouTube ad (Demand Gen) to searching for your product (AI Max) to converting through a Shopping listing (PMax), the three campaign types cover the entire journey.
This is why Google wants you to stop fragmenting your Search campaigns by keyword. The AI needs room to connect these touchpoints. A tightly restricted Search campaign cannot follow a user whose intent shifts from an informational query to a transactional one within the same session.
What to Change and What to Keep
Change: Consolidate keyword-themed campaigns into goal-based campaigns. Enable AI Max on non-brand Search campaigns. Feed better first-party data through customer match lists and audience signals. Use UTM tracking to measure post-click performance across the expanded query set.
Change: Move from manual keyword management to signal management. Your job shifts from choosing which keywords to bid on to providing the right conversion data, audience signals, and creative assets. Negative keywords still matter for filtering irrelevant traffic. Use a vetted negative keyword database to protect spend quality.
Keep: Brand campaigns with tight keyword control. Exact match brand terms with Target Impression Share bidding remain the standard for brand protection. AI Max does not need to touch this.
Keep: Conversion tracking discipline. None of this works without accurate conversion data. If your tracking is broken, AI Max and Smart Bidding optimize toward garbage. Fix your tracking setup before expanding into AI-driven campaign structures.
Keep: Regular search term reviews. AI Max expands your query reach. That means you need to review search terms more frequently, not less. New queries mean new negative keyword opportunities. The expanded reach is only valuable if you actively maintain quality.
The Bottom Line
Google’s Ads Decoded message is not subtle. The era of building campaigns around keyword lists is ending. The replacement is a goal-based structure where campaigns are defined by business outcomes and bidding strategies, not by how you categorize search terms.
AI Max is the mechanism that makes this work. It expands reach, generates creative, and selects landing pages dynamically. But it only performs when you give it room. Consolidate your campaigns. Feed the algorithm better data. Structure around profit, CPA, and customer acquisition goals. Let AI Max find the conversions you did not know existed.
The advertisers who adopt this approach early will see the 14-27% conversion lifts Google promises. The ones who cling to keyword-era structures will watch their competitors outbid them on queries they never thought to target.
